Chunfu Shao
Biographic Data
| ID | 6311512 |
|---|---|
| NAME | Chunfu Shao |
| GIVEN NAMES | Chunfu |
| FAMILY NAME | Shao |
| SIGNATURE | SHAO C |
| AFFILIATIONS | Beijing Jiaotong University |
| ORCID | 0000-0002-5495-8754 |
| VERIFIED | Yes |
| TOTAL WORKS | 15 |
| TOTAL CITATIONS | 9 |
| WORKS AS AUTHOR | 15 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Understanding built environment and intercity commuting using large-scale mobile phone signaling data
Enhancing public transport competitiveness in metropolitan areas
Spatiotemporal distribution and underlying mechanisms of taxi energy consumption
Investigating nonlinear and spatially heterogeneous impacts of the built environment on urban vitality
Dominant charging location choice of commuters and non-commuters
Exploring heterogeneous relationships between multiscale built environment and overweight in urbanizing China
The Effect of Travel-Chain Complexity on Public Transport Travel Intention
With urban expansion and traffic environment improvement, travel chains continue to grow, and the combination of travel purposes and modes becomes more complex. The promotion of mobility as a service (MaaS) has positive effects on facilitating the public transport traffic environment. However, public transport service optimization requires an accurate understanding of the travel environment, selection preferences, demand prediction, and systemati…
Uncovering travel and charging patterns of private electric vehicles with trajectory data
Exploring the Relationship between Built Environment and Commuting Mode Choice
The literature has offered much evidence regarding associations between the built environment (BE) and commuting behavior. However, most prior studies are conducted based on cross-sectional samples from developed countries, and little is known about the longitudinal link between BE and commuting behavior. Based on two rounds of survey data from China, this study examines relationships of BE with commuting mode choice from both cross-sectional and…
The Impact of Covid-19 on Travel Mode Choice Behavior in Terms of Shared Mobility
Shared mobility is growing rapidly and changing the mobility landscape. The COVID-19 pandemic has complicated travel mode choice behavior in terms of shared mobility, but the evidence on this impact is limited. To fill this gap, this paper first designs a stated preference survey to collect mode choice data before and during the pandemic. Different shared mobility services are considered, including ride hailing, ride sharing, car sharing, and bik…
An improvement in Matsim computing time for large-scale travel behaviour microsimulation
Coupling activity-based models with dynamic traffic assignment appears to form a promising approach to investigating travel demand. However, such an integrated framework is generally time-consuming, especially for large-scale scenarios. This paper attempts to improve the performance of these kinds of integrated frameworks through some simple adjustments using MATSim as an example. We focus on two specific areas of the model—replanning and time st…
Nonlinear effects of residential and workplace built environment on car dependence
Disentangling the comparative roles of multilevel built environment on body mass index
Exploring the Influence of Built Environment on Car Ownership and Use with a Spatial Multilevel Model
Although the impacts of built environment on car ownership and use have been extensively studied, limited evidence has been offered for the role of spatial effects in influencing the interaction between built environment and travel behavior. Ignoring the spatial effects may lead to misunderstanding the role of the built environment and providing inconsistent transportation policies. In response to this, we try to employ a two-step modeling approa…
Predicting Driver Behavior during the Yellow Interval Using Video Surveillance
At a signalized intersection, drivers must make a stop/go decision at the onset of the yellow signal. Incorrect decisions would lead to red light running (RLR) violations or crashes. This study aims to predict drivers' stop/go decisions and RLR violations during yellow intervals. Traffic data such as vehicle approaching speed, acceleration, distance to the intersection, and occurrence of RLR violations are gathered by a Vehicle Data Collection Sy…
Predicting Driver Behavior during the Yellow Interval Using Video Surveillance
At a signalized intersection, drivers must make a stop/go decision at the onset of the yellow signal. Incorrect decisions would lead to red light running (RLR) violations or crashes. This study aims to predict drivers' stop/go decisions and RLR violations during yellow intervals. Traffic data such as vehicle approaching speed, acceleration, distance to the intersection, and occurrence of RLR violations are gathered by a Vehicle Data Collection Sy…
Exploring the Influence of Built Environment on Car Ownership and Use with a Spatial Multilevel Model
Although the impacts of built environment on car ownership and use have been extensively studied, limited evidence has been offered for the role of spatial effects in influencing the interaction between built environment and travel behavior. Ignoring the spatial effects may lead to misunderstanding the role of the built environment and providing inconsistent transportation policies. In response to this, we try to employ a two-step modeling approa…
An improvement in Matsim computing time for large-scale travel behaviour microsimulation
Coupling activity-based models with dynamic traffic assignment appears to form a promising approach to investigating travel demand. However, such an integrated framework is generally time-consuming, especially for large-scale scenarios. This paper attempts to improve the performance of these kinds of integrated frameworks through some simple adjustments using MATSim as an example. We focus on two specific areas of the model—replanning and time st…
Nonlinear effects of residential and workplace built environment on car dependence
Disentangling the comparative roles of multilevel built environment on body mass index
Uncovering travel and charging patterns of private electric vehicles with trajectory data
Exploring the Relationship between Built Environment and Commuting Mode Choice
The literature has offered much evidence regarding associations between the built environment (BE) and commuting behavior. However, most prior studies are conducted based on cross-sectional samples from developed countries, and little is known about the longitudinal link between BE and commuting behavior. Based on two rounds of survey data from China, this study examines relationships of BE with commuting mode choice from both cross-sectional and…
The Impact of Covid-19 on Travel Mode Choice Behavior in Terms of Shared Mobility
Shared mobility is growing rapidly and changing the mobility landscape. The COVID-19 pandemic has complicated travel mode choice behavior in terms of shared mobility, but the evidence on this impact is limited. To fill this gap, this paper first designs a stated preference survey to collect mode choice data before and during the pandemic. Different shared mobility services are considered, including ride hailing, ride sharing, car sharing, and bik…
The Effect of Travel-Chain Complexity on Public Transport Travel Intention
With urban expansion and traffic environment improvement, travel chains continue to grow, and the combination of travel purposes and modes becomes more complex. The promotion of mobility as a service (MaaS) has positive effects on facilitating the public transport traffic environment. However, public transport service optimization requires an accurate understanding of the travel environment, selection preferences, demand prediction, and systemati…
Exploring heterogeneous relationships between multiscale built environment and overweight in urbanizing China
Investigating nonlinear and spatially heterogeneous impacts of the built environment on urban vitality
Dominant charging location choice of commuters and non-commuters
Understanding built environment and intercity commuting using large-scale mobile phone signaling data
Enhancing public transport competitiveness in metropolitan areas
Spatiotemporal distribution and underlying mechanisms of taxi energy consumption
Urban Transport and Accessibility (12 works) · Engineering (10 works) · Computer Science (9 works) · Transport engineering (9 works) · Geography (8 works) · Business (7 works) · China (7 works) · Economics (6 works) · Transportation and Mobility Innovations (6 works) · Transportation Planning and Optimization (6 works)